Course description:

The course will provide you with the theoretical and practical knowledge of reinforcement learning, a field of machine learning, that is suitable for robotic applications. We start with a brief overview of supervised learning, model selection etc, and spend the most time on reinforcement learning. The exercises will help you get hands-on with the methods and deepen your understanding.

Other resources:

Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems